AI-driven cloud sustainability: Accelerating the path to net-zero digital infrastructure
Year: 2025
Type: article
Abstract: This article examines the emerging field of AI-driven cloud sustainability, exploring how artificial intelligence technologies are being leveraged to minimize the environmental impact of cloud computing infrastructure. As cloud adoption accelerates globally, the associated energy consumption and carbon emissions present significant environmental challenges. The article investigates how AI-based solutions optimize energy usage through intelligent cooling systems, dynamic workload scheduling, and thermal load balancing while enabling precise carbon footprint management through forecasting, resource allocation, and simulation capabilities. Additionally, it discusses how AI influences cloud architecture design by incorporating sustainability as a first-class objective and facilitates integration with renewable energy sources and smart grids. Through comprehensive examination of current implementations and future directions, the article demonstrates that AI offers transformative potential for achieving net-zero digital infrastructure while meeting growing computational demands.
Author: Amjala, Shravan Kumar
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7091435964
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